SportSuite Vision Software is indicated for the intraoperative display of arthroscopic video and medical imaging during femoroacetabular impingement and labral repair hip arthroscopy procedures, and the display of the same information as presented by the HipCheck software and HipMap FAI Analysis. When using the device, surgical tasks are performed through a video see-through augmented reality head mounted display. Virtual images from video see-through augmented reality shall be used by the surgeon in conjunction with the use of traditional monitors by other Operating Room staff.
Device Story
SportSuite Vision Software is an augmented reality (AR) system for orthopedic surgery; utilizes head-mounted display (HMD) to overlay arthroscopic video and medical imaging into surgeon's field of view; integrates data from HipCheck software and HipMap FAI Analysis; provides intraoperative visualization of anatomical structures and surgical context. Used in operating room by surgeons; functions as supplement to traditional monitors used by OR staff. Benefits include enhanced visualization of surgical site and relevant data during hip arthroscopy; potential for improved surgical accuracy. Surgeon operates HMD; system processes and displays real-time video and pre-operative/intraoperative imaging data.
Clinical Evidence
No clinical data; bench testing only. Evidence includes validation of system-level procedural accuracy in cadaveric models, patient monitoring and visualization under worst-case conditions, and system validation of HMD with imaging data in simulated use. Testing evaluated color accuracy, image latency, distortion, contrast, spatial accuracy, ambient light response, and live video quality.
Technological Characteristics
Augmented reality software on head-mounted display (HMD); integrates arthroscopic video and medical imaging. Features include wireless connectivity, HMD-based visualization, and integration with external software (HipCheck, HipMap). Requires electrical safety, electromagnetic compatibility, and wireless coexistence testing. Software-based; requires reprocessing validation for reusable components.
Indications for Use
Indicated for patients undergoing femoroacetabular impingement and labral repair hip arthroscopy procedures.
Regulatory Classification
Identification
SportSuite Vision Software is an arthroscopic or orthopedic endoscopic intraoperative augmented reality video see-through display system. It consists of augmented reality software on a head-mounted display that displays arthroscopic or endoscopic video and medical imaging during orthopedic surgery, specifically for femoroacetabular impingement and labral repair hip arthroscopy procedures. The device is intended to intraoperatively augment visualization with contextually relevant information and data, including that received from other devices.
Reference Devices
HipCheck software
HipMap FAI Analysis
Submission Summary (Full Text)
{0}
FDA U.S. FOOD & DRUG ADMINISTRATION
July 17, 2026
Stryker Endoscopy
Lucas Dan
Senior Staff Regulatory Affairs Specialist
5900 Optical Court
San Jose, California 95138
Re: DEN250040
Trade/Device Name: SportSuite Vision Software
Regulation Number: 21 CFR 888.1150
Regulation Name: Arthroscopic or orthopedic endoscopic intraoperative augmented reality video see-through display system
Regulatory Class: Class II
Product Code: SIT
Dated: September 2, 2025
Received: September 2, 2025
Dear Lucas Dan:
The Center for Devices and Radiological Health (CDRH) of the Food and Drug Administration (FDA) has completed its review of your De Novo request for classification of the SportSuite Vision Software, a prescription device under 21 CFR Part 801.109 with the following indications for use:
SportSuite Vision Software is indicated for the intraoperative display of arthroscopic video and medical imaging during femoroacetabular impingement and labral repair hip arthroscopy procedures, and the display of the same information as presented by the HipCheck software and HipMap FAI Analysis. When using the device, surgical tasks are performed through a video see-through augmented reality head mounted display.
Virtual images from video see-through augmented reality shall be used by the surgeon in conjunction with the use of traditional monitors by other Operating Room staff.
FDA concludes that this device should be classified into Class II. This order, therefore, classifies the SportSuite Vision Software, and substantially equivalent devices of this generic type, into Class II under the generic name arthroscopic or orthopedic endoscopic intraoperative augmented reality video see-through display system.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
{1}
DEN250040 - Lucas Dan
Page 2
FDA identifies this generic type of device as:
**Arthroscopic or orthopedic endoscopic intraoperative augmented reality video see-through display system.** This device consists of augmented reality software on a head-mounted display that displays arthroscopic or endoscopic video and medical imaging during orthopedic surgery. The device is intended to intraoperatively augment visualization with contextually relevant information and data, including that received from other devices.
Section 513(f)(2) of the Food, Drug and Cosmetic Act (the FD&C Act) was amended by section 607 of the Food and Drug Administration Safety and Innovation Act (FDASIA) on July 9, 2012. This law provides two options for De Novo classification. First, any person who receives a 'not substantially equivalent' (NSE) determination in response to a 510(k) for a device that has not been previously classified under the Act may request FDA to make a risk-based classification of the device under section 513(a)(1) of the Act. On December 13, 2016, the 21st Century Cures Act removed a requirement that a De Novo request be submitted within 30 days of receiving an NSE determination. Alternatively, any person who determines that there is no legally marketed device upon which to base a determination of substantial equivalence may request FDA to make a risk-based classification of the device under section 513(a)(1) of the Act without first submitting a 510(k). FDA shall, within 120 days of receiving such a request, classify the device. This classification shall be the initial classification of the device. Within 30 days after the issuance of an order classifying the device, FDA must publish a notice in the Federal Register announcing the classification.
On September 2, 2025, FDA received your De Novo requesting classification of the SportSuite Vision Software. The request was submitted under section 513(f)(2) of the FD&C Act. In order to classify the SportSuite Vision Software into class I or II, it is necessary that the proposed class have sufficient regulatory controls to provide reasonable assurance of the safety and effectiveness of the device for its intended use. After review of the information submitted in the De Novo request FDA has determined that, for the previously stated indications for use, the SportSuite Vision Software can be classified in class II with the establishment of special controls for class II. FDA believes that class II (special) controls provide reasonable assurance of the safety and effectiveness of the device type. The identified risks and mitigation measures associated with the device type are summarized in the following table:
| Risks to Health | Mitigation Measures |
| --- | --- |
| Device failure/malfunction from software leading to malpositioning of tissue and other devices, tissue injury, the need for re-operation, latency in display and prolonged operative time | Non-clinical performance testing Labeling Software verification, validation, and hazard analysis |
| Use error/improper device use leading to malpositioning of tissue and other devices | Non-clinical performance testing Human factors/ usability testing Labeling |
| Electrical shock | Electrical safety testing |
| Interference with other devices | Electromagnetic compatibility testing Electrical safety testing Wireless coexistence testing |
| Infection | Reprocessing validation Labeling |
{2}
DEN250040 - Lucas Dan
Page 3
In combination with the general controls of the FD&C Act, the arthroscopic or orthopedic endoscopic intraoperative augmented reality video see-through display system is subject to the following special controls:
(1) Non-clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use, including:
(i) Validation of system-level procedural accuracy in a cadaveric model;
(ii) Validation of patient monitoring and visualization under worst-case conditions for intended anatomical locations;
(iii) System validation of the head-mounted display (HMD) with imaging data, contextually relevant information, and other displays available during surgery, in simulated use with a relevant clinical model (e.g., cadaver) while performing worst-case intraoperative tasks; and
(iv) System-level testing with each compatible HMD that evaluates color accuracy, image latency, distortion, contrast, spatial accuracy, ambient light response, and live video quality.
(2) Human factors/usability testing must demonstrate that the intended user(s) can correctly use the device and perform the intended surgical tasks accurately, based on the instructions for use.
(3) Software verification, validation, and hazard analysis must be performed.
(4) Performance data must demonstrate the electrical safety, electromagnetic compatibility, mechanical safety, thermal safety and wireless coexistence of the device.
(5) Performance data must validate the reprocessing instructions for the reusable components of the device.
(6) Labeling must include:
(i) A summary of the technical parameters of the device;
(ii) An instruction for users to familiarize themselves and become comfortable with the device prior to use during surgery;
(iii) Identification of compatible equipment, including controllers, HMD features, and surgical procedure-specific components;
(iv) A summary of the surgical tasks that were validated to be successfully performed with this device;
(v) Validated methods and instructions for reprocessing any reusable components and disposal instructions for single-use components;
(vi) Conditions of use that may impact the accuracy, reliability, or functionality of the device;
(vii) Mitigations for users' eye conditions or other pre-existing medical conditions that may impact visual motion sensitivity; and
(viii) An instruction to have a traditional monitor(s) available as a backup to the device.
In addition, this is a prescription device and must comply with 21 CFR 801.109.
{3}
DEN250040 - Lucas Dan
Page 4
Section 510(m) of the FD&C Act provides that FDA may exempt a class II device from the premarket notification requirements under section 510(k) of the FD&C Act, if FDA determines that premarket notification is not necessary to provide reasonable assurance of the safety and effectiveness of the device type. FDA has determined premarket notification is necessary to provide reasonable assurance of the safety and effectiveness of the device type and, therefore, the device is not exempt from the premarket notification requirements of the FD&C Act. Thus, persons who intend to market this device type must submit a premarket notification containing information on the arthroscopic or orthopedic endoscopic intraoperative augmented reality video see-through display system they intend to market prior to marketing the device.
Please be advised that FDA's decision to grant this De Novo request does not mean that FDA has made a determination that your device complies with other requirements of the FD&C Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the FD&C Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and if applicable, the electronic product radiation control provisions (Sections 531-542 of the FD&C Act; 21 CFR 1000-1050).
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System Rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
A notice announcing this classification order will be published in the Federal Register. A copy of this order and supporting documentation are on file in the Dockets Management Branch (HFA-305), Food and Drug Administration, 5630 Fishers Lane, Room 1061, Rockville, MD 20852 and are available for inspection between 9 a.m. and 4 p.m., Monday through Friday.
As a result of this order, you may immediately market your device as described in the De Novo request, subject to the general control provisions of the FD&C Act and the special controls identified in this order.
For comprehensive regulatory information about medical devices and radiation-emitting products, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
{4}
DEN250040 - Lucas Dan
Page 5
If you have any questions concerning the contents of the letter, please contact Sai Deepa Rayaprolu at saideepa.rayaprolu@fda.hhs.gov.
Sincerely,
Laurence D. Coyne -S
Digitally signed by Laurence D. Coyne -S
Laurence D. Coyne, Ph.D.
Director
DHT6C: Division of Restorative, Repair, and Trauma Devices
OHT6: Office of Orthopedic Devices
Office of Product Evaluation and Quality Center for Devices and Radiological Health
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.